# laxmimerit/ollama-chatbot

<https://repo.masters-masters.com/en/repos/laxmimerit/ollama-chatbot>

[Home](https://repo.masters-masters.com/en) › [laxmimerit](https://repo.masters-masters.com/en/owners/laxmimerit) › [ollama-chatbot](https://repo.masters-masters.com/en/repos/laxmimerit/ollama-chatbot)

laxmimerit/ollama-chatbot has 108 stars on GitHub. Its RepoMasters card: Prototype tier. This repository contains implementations of Retrieval-Augmented…

| Field | Value |
| --- | --- |
| Owner | [laxmimerit](https://repo.masters-masters.com/en/owners/laxmimerit) |
| Stars | 108 |
| Forks | 76 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [laxmimerit/ollama-chatbot](https://github.com/laxmimerit/ollama-chatbot) |

## Repository

This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.